MATLAB EXPO 2018
FINLAND

May 15 | Helsinki

The first MATLAB EXPO in Finland brought together engineers, managers, and researchers for a unique opportunity to learn how MATLAB and Simulink are used to accelerate the pace of engineering and science. The conference agenda featured sessions covering a broad range of topics, applications, and industries.

The MATLAB EXPO Experience

The hotel is located less than a minute walk from Stockholm Central Station.

Accès

The hotel is located less than a minute walk from Stockholm Central Station.

Are You Ready for AI? Is AI Ready for You?

AI, or artificial intelligence, is powering a massive shift in the roles that computers play in our personal and professional lives. Most technical organizations expect to gain or strengthen their competitive advantage through the use of AI. But are you in a position to fulfill that expectation, to transform your research, your products, or your business using AI?

Chris Hayhurst looks at the techniques that compose AI (deep learning, computer vision, robotics, and more), enabling you to identify opportunities to leverage it in your work. You will also learn how MATLAB® and Simulink® are giving engineers and scientists AI capabilities that were previously available only to highly-specialized software developers and data scientists.

Chris Hayhurst, MathWorks

Chris Hayhurst leads the MathWorks Consulting Services organization in Europe, managing a group of highly experienced engineers covering many industries and every aspect of MATLAB and Simulink product capability. At MathWorks, Chris has worked in many industries including automotive, aerospace, construction and agricultural equipment, electrical machines, and industrial equipment. Prior to joining MathWorks in 1997, Chris was involved in the design of flight control systems for helicopters, working with Simulink to model future helicopter dynamics and control strategies. He holds a degree in electrical engineering from Cambridge University. He is also active in the Institute of Engineering and Technology and in encouraging engineering and computing education in schools.

Model-Based Design in Nokia 5G

New technologies like 5G and mMIMO with massive increase in volume and scale mean that existing infrastructure and components must evolve rapidly, as well as adopt technologies and techniques to enable deployments. As such, there is a challenge for companies to bring such features faster, more neatly, and more tightly packaged to markets.

As one response, Nokia SoC teams have been adopting Model-Based Design in many areas. This has been a stepwise buildup and concentration of various independent activities together in multiple abstraction levels. After the initial buildup, the way of working has started to help Nokia meet the increasing complexity challenges, gain speedup, and improve their visibility to design intents. During the flow development, collaboration with MathWorks has helped with findings and iterations on how to best adopt the improved way of working into existing development flows. This presentation will show how introducing Model-Based Design at Nokia SoC enabled excellent concurrent design flows.

In the context of obtaining insights from real-world data, this talk addresses how MATLAB® empowers engineers and scientists without significant signal processing and machine learning expertise to tackle challenges like:

Importing, visualizing, and preprocessing time-series and other data

Detecting and extracting features in time, frequency, and time-frequency domains from signals

Antti Löytynoja, MathWorks

Antti Löytynoja joined the MathWorks application engineering team in 2010. He focuses on MATLAB applications such as data analytics, machine learning, application deployment, and test and measurement. Prior to joining MathWorks, Antti was a researcher at Tampere University of Technology (TUT), where he also earned his M.Sc. degree in signal processing. At TUT, Antti specialized in audio signal processing applications, such as sound source localization.